LeetCode

Real-time web search and clean page extraction, in one drop-in MCP server. - 🔎 search_web_pages: Ask a question in plain language, get back the most relevant pages from Keenable's search index. Fresh results, ranked, ready to act on. - 📄 fetch_page_content: Hand it a URL, get back clean, parsed, agent-ready text. The boilerplate, ads, and markup are gone; the signal stays.

Orbit is an MCP-connected operations layer for Claude and other AI Agents. Connect once and every session — chats, Claude Cowork/Code/ChatGPT Codex and other agents automatically log outputs, reports and decisions to a shared dashboard. Agents read from and write to Orbit's knowledge layer, so context persists across sessions and tools without re-explaining. Includes live agent visibility, trust-weighted memory, broadcast to all agents, and agent creation. Free to start.

Official LatLng MCP server for geocoding, reverse geocoding, places search, nearby POI lookup, and place categories. Powered by the LatLng API and OpenStreetMap data.

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.

Web and local search using Brave's Search API

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

Chess.com player, game, and daily-puzzle tools where each tool ships its own interactive React view — board replays and a playable puzzle widget, not just text. Built with Skybridge for ChatGPT & Claude.

Rami reviews every pull request for the bugs, logic errors, and risky patterns that AI coding agents commonly leave behind. When it flags something, your agent — Claude Code, Cursor, or Codex — fetches the finding over MCP, fixes it, and pushes; Rami re-reviews until those issues are cleared. A passing Rami check means the PR is free of those common agent flaws — not that it's ready to merge; that call stays yours. Disagree with a finding? Dispute it with evidence and Rami re-evaluates. Free to start — 2 reviews/day, no credit card.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

Engagement marketplace on Base, native to the Bankr ecosystem: AI agents and communities fund quests (follows, reposts, replies, quotes, original posts); verified-X humans complete them and are paid per approved action from a non-custodial x402 escrow — in USDC, BNKR, or any Bankr-launched token.

Bulk domain checking for AI chats: availability, aftermarket prices, archive.org history, social handle links, and buy links. Your AI brainstorms names; check_domains reports what's real for up to 50 names across 6 TLDs per call. Free to start — 20 credits. Setup: https://namebrewery.com/mcp

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Give your AI agents a wallet they can't abuse. Almega is an MCP server that puts a control layer in front of every payment: per-agent spending limits, allow-listed categories, 1-click human approval on sensitive transactions, and a full audit ledger. Two backends ship in one file — `memory` (zero-config, 30-second demo) and `stripe` (real Stripe Issuing test-mode virtual cards, no real money). 7 tools, stdio transport, Python 3.10+, MIT.

An MCP server that provides a tool for sending transactional emails via Mailtrap

XGR.Network MCP is a remote MCP server that gives AI agents access to the XGR stack. It supports XDaLa workflow preparation, XGRChain evidence lookup, Explorer data access and programmable process automation through a public streamable HTTP endpoint.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Web content fetching and conversion for efficient LLM usage

MCP Server for deConz server developed by Dresden Elektronik (bridge between smart home automation platforms and wireless Zigbee networks)

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

A powerful MCP Server with 10 tools - weather, web search, currency converter, news, translator, QR code, image generator, IP info, Hacker News, URL fetcher. All free APIs!

A local-first cognitive substrate for neurodivergent professionals. Gives Claude memory, a sense of time, a translator for corporate ambiguity, and a guardrail that refuses to amplify rumination, hyperfocus, or sycophancy. MCP-native. No telemetry. AGPL-3.0-or-later. Self-ID sufficient — no diagnosis gating.

Verified European private equity ownership data: who owns a company, PE firm portfolios, exits by year. 21,000+ companies, 900+ GPs, hand-checked, source link on every response. No auth.

Social media scheduling MCP for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.

Repository management, file operations, and GitHub API integration

Five live data tools for AI agents — company hiring signals (Greenhouse/Lever/Ashby), SEC EDGAR filings, academic papers (OpenAlex), GitHub repos, and Hacker News — as flat, citation-ready JSON. Hosted on Apify; pay-per-result billing to the caller's own Apify account, empty results cost $0.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

AI assistant for fitness coaches on Trainzilla. Manage clients, create workout and diet plans, schedule sessions, track habit compliance, review check-ins, and query billing — all via one-click OAuth 2.0. No token paste required.

An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"